Noise Enhanced Detection as a Special Case of Randomization

It is shown in this letter that the addition of noise to data, resulting in noise enhanced detection, is equivalent to using a randomized decision rule. Since the theory of randomized decision-making is well developed, this link can be exploited to better understand the advantages, disadvantages, and general properties of noise enhanced detection. As an example, we show how some recent results can be interpreted within this more general framework.